In OpenMPI we can select the different algorithms for collective communication functions.
Take the Broadcast function as an example, it has the following implementations: 0 ignore, 1 basic linear, 2 chain, 3: pipeline, 4: split binary tree, 5: binary tree, 6: binomial tree, 7: knomial tree, 8: scatter_allgather, 9: scatter_allgather_ring.
And we can select the implementations by setting '--mca coll_tuned_bcast_algorithm 7'
mpirun --mca coll_tuned_use_dynamic_rules 1 --mca coll_tuned_bcast_algorithm 7 -np 2 ./myprogram
Is there a way in Microsoft MPI to do the same or to change the tuning parameters?
ref: https://www.open-mpi.org/faq/?category=tuning#setting-mca-params
In OpenMPI we can select the different algorithms for collective communication functions.
Take the Broadcast function as an example, it has the following implementations: 0 ignore, 1 basic linear, 2 chain, 3: pipeline, 4: split binary tree, 5: binary tree, 6: binomial tree, 7: knomial tree, 8: scatter_allgather, 9: scatter_allgather_ring.
And we can select the implementations by setting '--mca coll_tuned_bcast_algorithm 7'
Is there a way in Microsoft MPI to do the same or to change the tuning parameters?
ref: https://www.open-mpi.org/faq/?category=tuning#setting-mca-params